Mingze Bai
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
Papers in
- Spectroscopy 14
- Advanced Proteomics Techniques and Applications 12
- Mass Spectrometry Techniques and Applications 5
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- Scientific Computing and Data Management 3
- Co-authors
- Kunxian ShuYunping ZhuHenning HermjakobJie MaKenli LiGuoqing ZhangTao ChenFuchu He
- Journals
- Journal of Proteome Research (3 papers)PROTEOMICS (2 papers)Computing in Science & Engineering (2 papers)Journal of Proteomics (2 papers)Briefings in Bioinformatics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mingze Bai
25 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Spectroscopy 235
- Molecular Biology 928
- Information Systems and Management 83
- Cancer Research 117
- Biological Psychiatry 19
Countries citing papers authored by Mingze Bai
This map shows the geographic impact of Mingze Bai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingze Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingze Bai more than expected).
Fields of papers citing papers by Mingze Bai
This network shows the impact of papers produced by Mingze Bai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingze Bai. The network helps show where Mingze Bai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingze Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 26 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2019 | 1 | |
| 18 | iProX: an integrated proteome resource Hit paper breakdown → | 2018 | 1215 |
| 19 | 2017 | 151 | |
| 20 | 2015 | 3 |
About Mingze Bai
Mingze Bai is a scholar working on Spectroscopy, Information Systems and Management, Biological Psychiatry, Hardware and Architecture and Signal Processing, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Bioinformatics and Genomic Networks (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Machine Learning in Bioinformatics (4 papers), Computational Drug Discovery Methods (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Spectroscopy (235 citations), Molecular Biology (928 citations), Information Systems and Management (83 citations), Cancer Research (117 citations) and Biological Psychiatry (19 citations). Mingze Bai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kunxian Shu, Yunping Zhu, Henning Hermjakob, Jie Ma, Kenli Li, Guoqing Zhang, Tao Chen, Fuchu He, Songfeng Wu and Chunyuan Yang. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Computing in Science & Engineering, Journal of Proteomics and Briefings in Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.